code: def test_constructor_spindex_dtype(self):
      arr = SparseArray(data=[1, 2], sparse_index=IntIndex(4, [1, 2]))
      # TODO: actionable?
      # XXX: Behavior change: specifying SparseIndex no longer changes the
      # fill_value
      expected = SparseArray([0, 1, 2, 0], kind="integer")
      tm.assert_sp_array_equal(arr, expected)
      assert arr.dtype == SparseDtype(np.int64)
      assert arr.fill_value == 0
  
      arr = SparseArray(
          data=[1, 2, 3],
          sparse_index=IntIndex(4, [1, 2, 3]),
          dtype=np.int64,
          fill_value=0,
      )
      exp = SparseArray([0, 1, 2, 3], dtype=np.int64, fill_value=0)
      tm.assert_sp_array_equal(arr, exp)
      assert arr.dtype == SparseDtype(np.int64)
      assert arr.fill_value == 0
  
      arr = SparseArray(
          data=[1, 2],
          sparse_index=IntIndex(4, [1, 2]),
          fill_value=0,
          dtype=np.int64,
      )
      exp = SparseArray([0, 1, 2, 0], fill_value=0, dtype=np.int64)
      tm.assert_sp_array_equal(arr, exp)
      assert arr.dtype == SparseDtype(np.int64)
      assert arr.fill_value == 0
  
      arr = SparseArray(
          data=[1, 2, 3],
          sparse_index=IntIndex(4, [1, 2, 3]),
          dtype=None,
          fill_value=0,
      )
      exp = SparseArray([0, 1, 2, 3], dtype=None)
      tm.assert_sp_array_equal(arr, exp)
      assert arr.dtype == SparseDtype(np.int64)
      assert arr.fill_value == 0
  
imports: import numpy
  import pytest
  from pandas._libs.sparse import IntIndex
  import pandas
  from pandas import SparseDtype, isna
  import pandas._testing
  from pandas.core.arrays.sparse import SparseArray
label_desc: Use image node_id 9 for calling the TestConstructors obj's underlying member method code with example usage: obj.test_constructor_spindex_dtype() without return types